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This study aims to examine the mediating effect of four antecedents of competitive advantage on the linkage of risky strategy to firm performance, measured by revenue dynamics. It considers the roots of competitive advantage to highlight different patterns and foundations of achieving superior performance. It investigates whether pursuing a risky strategy fosters revenue dynamics growth and whether different mediators are included in that relationship.

Path analysis (structural equation modeling) method is used to analyze data from 122 companies of various sizes and industries. All respondents were responsible for executing strategic management processes. The paper used the subjective perspective, which is based on the individual opinion of senior company managers and owners.

The authors find a positive relationship between risky strategy and firm performance, but no evidence of a mediating role of competitive advantage and dynamic growth in this relationship. Competitive advantage should be perceived as a set of integrated factors that can be analyzed from an aggregated perspective. Integrating all antecedents requires a holistic and systematic approach and the development of a particular mindset. Aggregated competitive advantage is related to setting dynamic growth as a priority. However, no relationship between risky strategy and achieving competitive advantage, or between implementing a risky strategy and setting dynamic growth as a priority, is observed, which was assumed to explain the revenue dynamics growth.

Secondary data should be analyzed to explore how risky strategies are manifested, and which managerial decisions are reflected in high-level risk. A multidimensional scale could be developed to check how risk shapes the constructs’ interdependence. Therefore, the dynamic capabilities approach could be further expanded.

This research offers insights into the short-term relationship between risky strategy and revenue dynamics, although competitive advantage does not mediate that relationship. Special attention should be paid to the selected antecedents of competitive advantage, as they influence dynamic growth.

This work provides insights into different antecedents of competitive advantage, which is not necessarily based on making risky decisions, and into factors that facilitate firm performance measured by revenue dynamics.

The combination of strategic orientation and digitalization for sustainable competitive advantage among small businesses is still not given much attention in the literature. Therefore, this study aims to understand the influence of strategic orientation on sustainable competitive advantage while mediating the relationship with digitalization.

This study used a cross-sectional design. This design helped collect data from 234 small businesses in Arusha city, Tanzania. Since the study used latent variables, structural equation modeling (SEM) was used to analyze relationships and conduct confirmatory factor analysis. Through bootstrapping confidence intervals, Hayes's Process was also used to test how digitalization mediates the relationship between strategic orientations and sustainable competitive advantage.

The strategic orientation attributes that include market orientation, entrepreneurial orientation and learning orientation were positively and significantly related to digitalization. Furthermore, the results on digitalization and sustainable competitive advantage show a significant positive relationship. Finally, digitalization was analyzed to mediate the relationship between strategic orientation, market orientation, entrepreneurial orientation, learning orientation and sustainable competitive advantage. Hence, all hypotheses were supported.

This study adopted a cross-sectional design that helped to capture the quantitative information. In addition, the current study is limited to Tanzania's small businesses; thus, the findings cannot assure generalization of the conclusion to other countries because of the differences in social, cultural and technology across countries.

This study integrates the concepts of strategic orientation from the strategic management discipline and digitalization from a technology perspective. As a result, the study adds new knowledge about combining two aspects and determining whether they add value in terms of providing a sustainable competitive advantage. This knowledge comes from digitalization, which acts as a mediator between strategic orientation dimensions and a sustainable competitive advantage.

The purpose of this study is to discuss the opportunities for and challenges faced in the development of a wine sector in a nascent wine country, as well as the necessary requirements for the creation of sustainable competitive advantages (SCA), using Sweden as an example.

Content analysis of previous research based on secondary data; a SWOT analysis of the wine sector in the nascent wine country, Sweden, is provided in connection with a conceptual framework for SCAs.

In a nascent wine country such as Sweden, factors such as climate or technical issues regarding wine production are important factors in respect of SCA, but in themselves, do not present insurmountable obstacles to their creation. In reality, structural challenges such as the alcohol monopoly in the retail market, various other legal regulations and restrictions, the lack of marketing and promotion capabilities, limited viticulture knowledge and limited experience of cooperation with the local enterprise are all far more problematic in that they lead to relatively limited demand for Swedish wine. In this context, a marketing management approach becomes a key factor in changing attitudes and approaches. Clearly, it is important to provide potential markets and consumers with relevant marketing information about the nascent wine country and its products.

Previous research generally focused on the SCA in the established wine countries; the focus of this study is on the SCA in a nascent wine country, a country without any tradition of commercial wine production. This study contributes to the discussion of a new conceptual framework for understanding SCA in the context of nascent wine countries. Furthermore, it suggests that the remaining state alcohol retail monopoly in Sweden provides not only challenges but also opportunities for the development of the wine sector. These findings are valid not only for Sweden but also for other nascent wine countries.

The purpose of this paper is to explore the interrelationship between macroeconomic factors, firm characteristics and financial performance of quoted manufacturing firms in Nigeria. Specifically, the study investigates the effect of interest rate, inflation rate, exchange rate and the gross domestic product (GDP) growth rate, while the firm characteristics were size, leverage and liquidity. The dependent variable financial performance is measured as return on assets (ROA).

The study used the ex post facto research design. The population comprised all quoted manufacturing firms on the Nigerian Stock Exchange. The sample was restricted to companies in the consumer goods sector, selected using non-probability sampling method. The study used multiple linear regression as the method of validating the hypotheses.

The study finds no significant effect for interest rate and exchange rate, but a significant effect for inflation rate and GDP growth rate on ROA. Second, the firm characteristics showed that firm size, leverage and liquidity were significant.

The study has implications for regulators and policy makers in formulating policy decisions. In addition, managers may better understand the interplay between macroeconomic factors, firm characteristics and profitability of firms.

Few studies have addressed the interplay of macroeconomic factors and firm characteristics in determining the profitability of manufacturing firms in the country and developing countries in general.

This paper aims to investigate the internal factors of resources and capabilities of five born globals (BGs) from Estonia. It explores quantitatively the internal factors between a medium BG and four small BGs.

The study used a survey questionnaire in collecting information from the CEOs of BGs. The questionnaire consisted of 105 questions relevant to export sales related to differences in internal factors.

The firms’ size and industrial sector play a role in export sales due to differences in internal factors. Small BGs expect financially based rewards, non-financial rewards, the job satisfaction of sales representatives with the export manager, and with work in general, and the representatives’ job satisfaction is higher in the small BGs than in the medium BG. The sales representatives’ job performance, their work performance, sales presentations, technical knowledge, adaptiveness, teamwork, planning, support, the organisational capabilities for business identification, relationship-building and innovation are all higher in medium BGs than in small BGs. Eleven sub-constructs of the model were shown to be important for small BGs.

The current study is focused on BGs from Estonia, i.e. small BGs and medium BGs. The study contributes to the internal factors of resources and capabilities of BGs as well as to the literature review on BGs. It also provides a logical conceptual model, indicating that the export manager’s job satisfaction is the central construct influenced by antecedent factors and is related directly to the export sales performance of the BG.

The purpose of this study is to analyze the influence of the firms' external environment on their export intensity. More specifically, it assesses whether domestic market characteristics such as domestic demand and general export environment related to tradability across borders affect firms' export intensity.

The authors use a sample of 29,266 firms from nine European countries, for the period of 2010–2016, and test several estimation methods (random effects models, Tobit models, and Heckman's selection models).

Results show that external factors such as domestic demand and ease of trade across borders are important determinants of firms' export intensity. Moreover, results reveal that firm's internal characteristics such as age, size and productivity also play an import role.

Studies about the influence of the firms' external environment on firms' export intensity are scarce because most of them are confined to a single country context. In this way, the present study contributes to the body of knowledge on the influence that external factors can have on firms' export performance by analyzing firms from nine European countries, which has important policy implications.

The purpose of this paper is to examine the determinants of mutual funds’ performance at both a country level and a fund level in Vietnam.

The different types of funds with more than three-year operation are selected to remove outliers of the stock market boom from 2015 to 2018. The data set includes 54 mutual funds operating during the period from 2008 until November 2018.

The research finds that there is a positive relationship between macroeconomics and mutual funds’ performance. Furthermore, country-level governance such as regulation effectiveness, political stability, economic growth and financial development has a positive correlation with mutual funds’ performance. However, the impact of fund-level factors is diverse with the no significant impact of board size on mutual fund’s performance, while passive funds perform better than active funds in Vietnam.

The research results suggest that investors should pay attention to the types of funds and operating expense when making an investment decision in mutual funds. There are some recommendations for both government policy-makers and the mutual fund industry that are likely to facilitate the development of this field in Vietnam.

The research contributes to the understanding of what are the factors that should be considered when investing in mutual funds.

The purpose of this study is to evaluate the effect of motivation on job satisfaction and organizational performance in the context of container shipping companies in Taiwan. Four motivation dimensions were identified based on an exploratory factor analysis, including remuneration, job achievement, job security and job environment. In addition, five job satisfaction dimensions were identified, namely: job policy, job autonomy, job workload, job performance and job status. Organizational performance dimensions included financial and non-financial performance.

Factor analysis was used to summarize a large number of motivation, job satisfaction and organizational performance attributes to identify the crucial factors. Reliability tests based on Cronbach’s alpha and corrected item-total correlation coefficients was used to test the internal consistency of questionnaire responses. ANOVA tests were subsequently used to test for differences in respondents’ perception of these factors according to selected demographics. Finally, a multiple regression model analysis was conducted to examine the relationships between motivation, job satisfaction and organizational performance.

Results indicated that remuneration and job performance had a positive effect on financial performance dimensions such as return on assets, turnover growth rate and profitability while job environment and job autonomy had a positive effect on non-financial performance dimensions, such as customer service, employee productivity and service quality.

This study has drawn attention to the importance of the relationships between motivation, job satisfaction and organizational performance in the container shipping context. The findings have significant implications for researchers and shipping practitioners. Despite the existence of research on the inter-relationships between motivation, job satisfaction and organizational performance in other disciplines, no empirical study was discussed in previous shipping or transportation-related research.

The retention and success of engineering undergraduates are increasing concern for higher-education institutions. The study of success determinants are initial steps in any remedial initiative targeted to enhance student success and prevent any immature withdrawals. This study provides a comprehensive approach toward the prediction of student academic performance through the lens of the knowledge, attitudes and behavioral skills (KAB) model. The purpose of this paper is to aim to improve the modeling accuracy of students’ performance by introducing two methodologies based on variable selection and dimensionality reduction.

The performance of the proposed methodologies was evaluated using a real data set of ten critical-to-success factors on both attitude and skill-related behaviors of 320 first-year students. The study used two models. In the first model, exploratory factor analysis is used. The second model uses regression model selection. Ridge regression is used as a second step in each model. The efficiency of each model is discussed in the Results section of this paper.

The two methods were powerful in providing small mean-squared errors and hence, in improving the prediction of student performance. The results show that the quality of both methods is sensitive to the size of the reduced model and to the magnitude of the penalization parameter.

First, the survey could have been conducted in two parts; students needed more time than expected to complete it. Second, if the study is to be carried out for second-year students, grades of general engineering courses can be included in the model for better estimation of students’ grade point averages. Third, the study only applies to first-year and second-year students because factors covered are those that are essential for students’ survival through the first few years of study.

The study proposes that vulnerable students could be identified as early as possible in the academic year. These students could be encouraged to engage more in their learning process. Carrying out such measurement at the beginning of the college year can provide professional and college administration with valuable insight on students perception of their own skills and attitudes toward engineering.

This study employs the KAB model as a comprehensive approach to the study of success predictors. The implementation of two new methodologies to improve the prediction accuracy of student success.